Documenting a regional forest journey

Ecology ◽  
2017 ◽  
Vol 99 (2) ◽  
pp. 507-509
Author(s):  
Mark E. Swanson
Keyword(s):  
Regional Forest

L'importance des outils de planification forestière dans les opérations de relations publiques en Suisse | The importance of forestry planning tools in public relations operation in Switzerland

2004 ◽  
Vol 155 (11) ◽  
pp. 487-491
Author(s):  
Christina Giesch Shakya
Keyword(s):  
Forest Management ◽  
Public Relations ◽  
Management Plan ◽  
Public Understanding ◽  
The Public ◽  
Forest Management Plan ◽  
Forest Enterprises ◽  
Forestry Services ◽  
Regional Forest ◽  
Structured Questionnaire

The current study examines the importance of planning and management documents (notably the forest management plan and the regional forest plan) for public relations purposes. 17 people (15 forest engineers and 2 forest guards) were interviewed using a semi-structured questionnaire. The results of our survey show that some of the information used for public relations is taken from the planning documents. The forest management plan is primarily considered to be an internal document, but it also provides information on the objectives of forest enterprises, justifications of the planned measures, numbers and maps. The regional forest plan contributes to the public relations in three ways: its content provides information about objectives, description of forest functions, projects and measures. In addition, the participation of the public in the process of elaborating this plan is an ideal opportunity to heighten awareness in society and further public understanding of the forest and forestry services. Finally, as the regional forest management plan is in the public domain, it functions as a type of «show case» of the forest service.

scholarly journals Has regional forest loss been underestimated?

2017 ◽  
Vol 12 (11) ◽  
pp. 111003 ◽  
Author(s):  
C Isabella Bovolo ◽  
Daniel N M Donoghue
Keyword(s):  
Forest Loss ◽  
Regional Forest

scholarly journals Analyse semi-automatisée de photos aériennes numérisées pour l'étude de la dynamique de peuplements arborescents | Semi-Automatised Analysis of Digitised Aerial Photographs for the Study of Arborescent Population Dynamics

2000 ◽  
Vol 151 (7) ◽  
pp. 238-242
Author(s):  
Vincent Barbezat
Keyword(s):  
National Forest Inventory ◽  
Aerial Photographs ◽  
Forest Planning ◽  
National Forest ◽  
Federal Institute ◽  
Swiss Confederation ◽  
Institute Of Technology ◽  
Regional Forest ◽  
User Friendly ◽  
Standard Tree

At the present time, landscape inventories, the third National Forest Inventory (NFI), permanent research plots in the forests,cantonal inventories, regional forest planning, the redefinition of useful farm land, a new inventory of standard tree orchards but also the protection of peat bog and alluvial areas are daily business. Therefore, the development of a software for automated aerial photograph analysis is of greatest interest to the Swiss Confederation and its cantons as well as to forest owners, research institutes and certain industries (private engineering enterprises, software producers). In answer to these expectations, the Antenne Romande WSL, together with the Institute of Production in Microengineering of the Swiss Federal Institute of Technology Lausanne(EPFL), proposes to develop a software for user-friendly, neutral and rapid image-processing, the working precision of which will suit forest and landscape managers. Moreover, the software will provide scientists with basic data for the modelling of various ecosystem processes.

scholarly journals ESTIMATION OF REGIONAL FOREST ABOVEGROUND BIOMASS COMBINING ICESAT-GLAS WAVEFORMS AND HJ-1A/HSI HYPERSPECTRAL IMAGERIES

2016 ◽  
Vol XLI-B7 ◽  
pp. 731-737
Author(s):  
Yanqiu Xing ◽  
Sai Qiu ◽  
Jianhua Ding ◽  
Jing Tian
Keyword(s):  
Carbon Cycle ◽  
Aboveground Biomass ◽  
Forest Canopy ◽  
Field Investigation ◽  
Support Vector ◽  
Laser Altimeter ◽  
Spectral Bands ◽  
Spectral Imager ◽  
Regional Forest ◽  
Forest Aboveground Biomass

Estimation of forest aboveground biomass (AGB) is a critical challenge for understanding the global carbon cycle because it dominates the dynamics of the terrestrial carbon cycle. Light Detection and Ranging (LiDAR) system has a unique capability for estimating accurately forest canopy height, which has a direct relationship and can provide better understanding to the forest AGB. The Geoscience Laser Altimeter System (GLAS) onboard the Ice, Cloud, and land Elevation Satellite (ICESat) is the first polarorbiting LiDAR instrument for global observations of Earth, and it has been widely used for extracting forest AGB with footprints of nominally 70&thinsp;m in diameter on the earth's surface. However, the GLAS footprints are discrete geographically, and thus it has been restricted to produce the regional full coverage of forest AGB. To overcome the limit of discontinuity, the Hyper Spectral Imager (HSI) of HJ-1A with 115 bands was combined with GLAS waveforms to predict the regional forest AGB in the study. Corresponding with the field investigation in Wangqing of Changbai Mountain, China, the GLAS waveform metrics were derived and employed to establish the AGB model, which was used further for estimating the AGB within GLAS footprints. For HSI imagery, the Minimum Noise Fraction (MNF) method was used to decrease noise and reduce the dimensionality of spectral bands, and consequently the first three of MNF were able to offer almost 98% spectral information and qualified to regress with the GLAS estimated AGB. Afterwards, the support vector regression (SVR) method was employed in the study to establish the relationship between GLAS estimated AGB and three of HSI MNF (i.e. <i>MNF1</i>, <i>MNF2</i> and <i>MNF3</i>), and accordingly the full covered regional forest AGB map was produced. The results showed that the adj.R<sup>2</sup> and RMSE of SVR-AGB models were 0.75 and 4.68&thinsp;t&thinsp;hm<sup>&minus;2</sup> for broadleaf forests, 0.73 and 5.39&thinsp;t&thinsp;hm<sup>&minus;2</sup> for coniferous forests and 0.71 and 6.15&thinsp;t&thinsp;hm<sup>&minus;2</sup> for mixed forests respectively. The full covered regional forest AGB map of the study area had 0.62 of accuracy and 11.11&thinsp;t&thinsp;hm<sup>&minus;2</sup> of RMSE. The study demonstrated that it holds great potential to achieve the full covered regional forest AGB distribution with higher accuracy by combing LiDAR data and hyperspectral imageries.

scholarly journals FEATURES OF SUSTAINABLE DEVELOPMENT OF THE FOREST SECTOR IN A FOREST-POOR REGION (ON THE EXAMPLE OF THE VORONEZH REGION)

2021 ◽  
Vol 9 (1) ◽  
pp. 7-16
Author(s):  
Irina Zinoveva ◽  
Olga Pecherskaya
Keyword(s):  
Sustainable Development ◽  
Regional Economy ◽  
Forest Policy ◽  
Forest Resources ◽  
Forest Sector ◽  
Economic Activities ◽  
Voronezh Region ◽  
Forest Use ◽  
Regional Forest ◽  
The Impact

The paper considers the directions of development of the region of the forestry sector of low-forest use on the example of the Voronezh region, highlights the factors and conditions for sustainable development and regional forest policy, principles, principles of compatibility of the compatibility of the use of forest resources in one area. It is emphasized that for sparsely wooded regions it is advisable to conduct economic activities within the framework of public-private partnerships associated with ensuring the protection and protection of forests, afforestation and reforestation, that is, activities related to the creation of a resource region. It is noted that the non-resource use of forests due to the disclosure of the recreational potential of the territory contributes not only to the development of the regional economy, but also satisfies the population's need for recreation, allowing to restore the lost working capacity. Forest plots from the lands of the forest fund of the Voronezh region in 2018-2020 were provided for permanent (unlimited) use, rent, free fixed-term use. The analysis showed an increase in the number of contracts for the implementation of recreational activities, construction, reconstruction, operation of linear objects, as well as hunting. With the aim of a balanced use of forest resources, taking into account the impact on the development of the regional economy, the criteria for choosing a priority direction of forest use were determined.

scholarly journals Small Area Estimation of Postfire Tree Density Using Continuous Forest Inventory Data

2021 ◽  
Vol 4 ◽  
Author(s):  
George C. Gaines ◽  
David L. R. Affleck
Keyword(s):  
Forest Inventory ◽  
Mean Squared Error ◽  
Tree Density ◽  
Standard Errors ◽  
Sample Sizes ◽  
Management Planning ◽  
Forest Management Planning ◽  
Continuous Forest ◽  
Sample Data ◽  
Regional Forest

Wildfire activity in the western United States is expanding and many western forests are struggling to regenerate postfire. Accurate estimates of forest regeneration following wildfire are critical for postfire forest management planning and monitoring forest dynamics. National or regional forest inventory programs can provide vegetation data for direct spatiotemporal domain estimation of postfire tree density, but samples within domains of administrative utility may be small (or empty). Indirect domain expansion estimators, which borrow extra-domain sample data to increase precision of domain estimates, offer a possible alternative. This research evaluates domain sample sizes and direct estimates in domains spanning large geographic extents and ranging from 1 to 10 years in temporal scope. In aggregate, domain sample sizes prove too small and standard errors of direct estimates too high. We subsequently compare two indirect estimators—one generated by averaging over observations that are proximate in space, the other by averaging over observations that are proximate in time—on the basis of estimated standard error. We also present a new estimator of the mean squared error (MSE) of indirect domain estimators which accounts for covariance between direct and indirect domain estimates. Borrowing sample data from within the geographic extents of our domains, but from an expanded set of measurement years, proves to be the superior strategy for augmenting domain sample sizes to reduce domain standard errors in this application. However, MSE estimates prove too frequently negative and highly variable for operational utility in this context, even when averaged over multiple proximate domains.

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